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As our Lead Database Reliability Engineer, you'll support our products, Timely and SalonBiz, which power over 30,000 wellness businesses across 100 countries. In this role, you’ll lead the reliability, scalability, and performance of the databases and data infrastructure that underpin our SaaS platforms. You’ll work closely with product and engineering teams to deliver secure, innovative, and highly available data solutions that support real-time insights and a stable 24/7 customer experience. This is an opportunity for a technically strong, strategic engineer who is passionate about modern data technologies and building resilient systems at scale.
Job Responsibility
Drive data strategy and data practices for how our databases work, scale and are used
Capacity planning and performance tuning of the database platforms
Carry out database related project work (e.g. writing migration scripts, procs, DDL etc)
Manage high risk data deployments and post-deploy monitoring
Assist development teams in a consultancy role for identifying risks and proposing solutions around database reliability
Work with the data team and product teams to constantly improve data operational engineering practices
Maintain awareness of trends and emerging technologies in relevant fields and propose to Wellness Solutions when fit
Advocate for, and apply Devops and SRE principles across Wellness engineering teams
Grow and mentor other Data professionals
Requirements
Strong ability to work autonomously, prioritise effectively, and make sound technical decisions while knowing when to seek support or collaboration
Deep expertise in database reliability, performance, and management, with the ability to mentor and coach others
Strong experience with relational databases, ideally SQL Server and Azure SQL, with exposure to Oracle environments
Advanced T-SQL skills and a passion for solving complex data challenges
Experience with, or willingness to learn, scripting, object-oriented programming, and infrastructure-as-code technologies such as Python, PowerShell, and Terraform
Focus on delivering scalable, reliable solutions with strong practices across monitoring, alerting, automation, documentation, and knowledge sharing
Experience working in agile environments using SCRUM and/or Kanban methodologies
Confident communicator who enjoys collaborating, contributing ideas, and engaging in healthy discussions around data practices and engineering improvements